• DocumentCode
    2131155
  • Title

    Text Knowledge Mining: An Alternative to Text Data Mining

  • Author

    Sanchez, Dominick ; Martin-Bautista, Maria J. ; Blanco, I. ; Torre, C.

  • Author_Institution
    Dept. Comput. Sci. & A.I., Univ. of Granada E.T.S.I.I.T., Granada
  • fYear
    2008
  • fDate
    15-19 Dec. 2008
  • Firstpage
    664
  • Lastpage
    672
  • Abstract
    In this paper we introduced an alternative view of text mining and we review several alternative views proposed by different authors. We propose a classification of text mining techniques into two main groups: techniques based on inductive inference, that we call text data mining (TDM, comprising most of the existing proposals in the literature), and techniques based on deductive or abductive inference, that we call text knowledge mining (TKM). To our knowledge, the TKM view of text mining is new though, as we shall show, several existing techniques could be considered in this group. We discuss about the possibilities and challenges of TKM techniques. We also discuss about the application of existing theories in possible future research in this field.
  • Keywords
    data mining; text analysis; abductive inference; inductive inference; text data mining; text knowledge mining; Calcium; Communication networks; Computer science; Conferences; Data mining; Data structures; Informatics; Magnesium; Stress; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-0-7695-3503-6
  • Electronic_ISBN
    978-0-7695-3503-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2008.57
  • Filename
    4733992